PhD in Plant Structural-Functional Modelling: The Bioinformatics Division of the Institute of Biological and Geosciences (IBG-4) at Forschungszentrum Jülich is offering a PhD scholarship aimed at integrating machine learning with structural-functional plant models. This opportunity is ideal for candidates interested in exploring the bioeconomic relevance of plants leveraging cutting-edge methodologies.
PhD Scholarship Opportunity in Machine Learning & Plant Structural-Functional Modelling
Designation
PhD Researcher
| Research Area | Machine Learning & Plant Structural-Functional Modelling |
|---|---|
| Location | Forschungszentrum Jülich, Germany |
| Eligibility/Qualification | Master’s degree in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics, or related field |
Description
The scholarship provides the opportunity to:
- Develop AI pipelines translating -omic signatures into model parameters.
- Implement reinforcement-learning agents to optimize model performance.
- Collaborate with experts in molecular biology, data science, and modeling.
- Present research findings at conferences and publish in peer-reviewed journals.
How to Apply
Interested candidates should submit their applications following the guidelines specified on the official website. Applications must be submitted through the provided contact form; email applications will not be accepted.
Last Date to Apply
14th September 2025
Take advantage of this chance to further your academic and professional career in a vibrant, interdisciplinary research environment.
